An image mosaicing module for wide-area surveillance

Marko Heikkilä, M. Pietikäinen
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引用次数: 32

Abstract

This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our method is robust against illumination variations, moving objects, image rotation, image scaling, imaging noise, and is relatively fast to calculate. We have tested the performance of the proposed method against several video sequences captured from real-world scenes. The results clearly justify our approach.
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用于广域监控的图像拼接模块
针对广域视频监控的需要,提出了一种全自动图像拼接方法。采用纯粹的基于特征的方法寻找图像之间的配准。这种方法为我们提供了几个优点。我们的方法对光照变化、移动物体、图像旋转、图像缩放、成像噪声具有鲁棒性,并且计算速度相对较快。我们已经针对从真实场景中捕获的几个视频序列测试了所提出方法的性能。结果清楚地证明了我们的方法是正确的。
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